… machine learning algorithm based on the ensemble classifier to … The optimization method
is applied to data of pressure … In a smart home environment human activities (health, alarming …

… body sensors for daily activity recognition. Filter-based methods were used to reduce the
feature set followed by a correlation-based optimization and a classifier to determine the overall …

Human activity recognition (HAR) plays a vital role in different real-world applications such …
elderly activities for elderly care services, in assisted living environments, smart home …

… Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly
people. … system for monitoring an elderly person in a smart home environment. IEEE Trans. Inf. …

… 4], gesture recognition [5], video magnification [6], and smart home … areas where human
action recognition systems are … propose an optimized framework for human action recognition by …

… -care activities such as assisted living, smart home models, … , we used Sequential Minimal
Optimization (SMO) algorithm. … features by applying the genetic search algorithm based on its …

… We have proposed a hybrid model using a combination of transfer learning models 11 and
a wrapper optimizer algorithm based on BBA, to build an efficient model in order to identify …

… The PSO is a well-known optimization algorithm based on population developed [… activity
recognition system using translation and scaling invariant features for life logging at smart home…

… for smart home applications such as activity recognition, data … smart home devices and
delivering them the most optimal … generated by meta-learner algorithm based on the input of first …

… such as, elder care, ambient assisted living and smart home. Authors in Bianchi et al. (2019) …
An optimal feature vector is thus generated to be used in the SVM classifier for classification…